Powering Industrial Growth in Kenya: The Role of Renewable Energy Generation in Manufacturing
ケニアの産業成長を支える：再生可能エネルギー発電が製造業に果たす役割 (AI 翻訳)
Peter Situma Masibayi, Y. Ghabon
🤖 gxceed AI 要約
日本語
再生可能エネルギー発電が製造業の成長に与える影響を、ケニアの1980～2023年の年次データを用いてARDLモデルで分析。再生可能エネルギー発電の1%増加は、翌年の製造業生産高を約0.099%押し上げる一方、非再生可能発電は長期的に収縮効果を示す。固定資本形成が製造業の最大の決定要因であり、再生可能エネルギーの拡大と産業政策の連携が重要と結論。
English
Using ARDL modeling on Kenyan data from 1980-2023, this study finds that a 1% increase in renewable energy generation boosts manufacturing output by 0.099% the following year, while non-renewable generation has contractionary long-run effects. Gross capital formation remains the strongest driver. The results support aligning renewable energy expansion with industrial policy for sustainable growth.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
ケニアに焦点を当てているが、再生可能エネルギーが製造業の成長に貢献する実証結果は、新興国でのGX投資検討や、日本のアフリカ向けエネルギー協力において参考となる。ただし、日本の国内政策への直接応用は限定的。
In the global GX context
This paper provides empirical evidence from a developing economy on the positive link between renewable energy and manufacturing output. It contributes to the global discourse on energy transition and industrial policy, highlighting the need for complementary investments and the risks of non-renewable lock-in. Valuable for understanding renewables in emerging markets, though not directly applicable to developed economies.
👥 読者別の含意
🔬研究者:The ARDL methodology and long-run elasticity estimates offer a template for similar studies in other developing countries.
🏛政策担当者:Policymakers in emerging economies can use the findings to justify integrating renewable energy targets into manufacturing development plans.
📄 Abstract（原文）
The growth of renewable energy is viewed as a way to support both decarbonization as well as manufacturing and industrial development, yet available empirical evidence on its sector-specific growth effects in developing economies remains scarce. This study examines the relationship between renewable energy generation and manufacturing output in Kenya using annual data from 1980 to 2023 within an autoregressive distributed lag (ARDL) framework using data from WDI and EIA. Controlling for non-renewable generation, gross capital formation, as well as labour, the bounds testing approach confirms a stable long-run relationship between renewable energy generation and manufacturing sector growth in Kenya. The results indicate that renewable energy generation exerts a positive and statistically significant lagged effect such that a 1% increase in renewable generation increases manufacturing output by approximately 0.099% in the subsequent year. However, non-renewable energy generation displays delayed contractionary effects in the long run, thus suggesting potential structural inefficiencies associated with non-renewable energy sources. Gross capital formation remains the strongest determinant of manufacturing growth, underscoring the importance of complementary investment. The error correction term of -0.763 indicates rapid adjustment toward equilibrium by correcting 76.3% of disequilibrium annually. Diagnostic and stability tests confirm model robustness. The findings suggest that aligning renewable energy expansion with manufacturing and industrial policy can boost manufacturing growth and productivity while supporting long-term energy transition objectives in Kenya and comparable emerging economies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.47772/ijriss.2026.10200565first seen 2026-05-15 19:29:18
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